A novel gene signature based on five glioblastoma stem-like cell relevant genes predicts the survival of primary glioblastoma.

Ruichao ChaiKenan ZhangKuanyu WangGuanzhang LiRuoyu HuangZheng ZhaoYanwei LiuJing Chen

Published in: Journal of cancer research and clinical oncology (2018)

We built a gene signature with five glioblastoma stem-like cell (GSC) relevant genes, and predicted the survival in four independent databases effectively, which is possibly related to the stemness of GSCs in pGBM. Several GO terms were investigated to be correlated to the signature. The signature can predict the prognosis of glioblastoma efficiently.

Keyphrases

genome wide
genome wide identification
single cell
cell therapy
stem cells
copy number
dna methylation
epithelial mesenchymal transition
gene expression
free survival
machine learning
high resolution
bioinformatics analysis
big data